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[Home](https://www.msaied.com/public) 2. / 3. [Articles](https://www.msaied.com/public/articles) 4. / 5. Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues ====================================================================== Go beyond basic dispatching: learn how to compose Laravel job batches, build resilient chains, and throttle throughput with rate-limited middleware — all with production-ready patterns. ![](https://cdn.msaied.com/01M22N44A70A5MC2S599JP0MPH.webp) [Mohamed Said](https://www.msaied.com/public#person) Published 6 Aug 2026 · Updated 6 Aug 2026 · 3 min read ShareCopy linkCopied ![Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues](https://cdn.msaied.com/515/f0ef4270f8cb79ceff107c7a7c63f1ed.png) On this page +1. [Why Basic dispatch() Is Not Enough](#why-basic-codedispatchcode-is-not-enough) 2. [Job Batching with Bus::batch()](#job-batching-with-codebusbatchcode) 3. [Adding Jobs to a Running Batch](#adding-jobs-to-a-running-batch) 4. [Job Chaining with Bus::chain()](#job-chaining-with-codebuschaincode) 5. [Rate-Limited Job Middleware](#rate-limited-job-middleware) 6. [Custom Backoff on Rate Limit](#custom-backoff-on-rate-limit) 7. [Combining All Three](#combining-all-three) 8. [Key Takeaways](#key-takeaways) Why Basic `dispatch()` Is Not Enough ------------------------------------ Single-job dispatching works fine for isolated tasks, but real SaaS workloads demand coordination: import a CSV, notify each row's owner, then send a summary email. Get any step wrong and you want partial retries — not a full restart. Laravel's batch and chain APIs, combined with rate-limited job middleware, give you that control. --- Job Batching with `Bus::batch()` -------------------------------- Batches let you dispatch a collection of jobs and react when the whole set finishes, partially fails, or is cancelled. ```php use Illuminate\Bus\Batch; use Illuminate\Support\Facades\Bus; $batch = Bus::batch([ new ProcessRowJob($row) for $row in $rows, // spread or array ]) ->then(fn (Batch $batch) => SummaryMail::dispatch($batch->id)) ->catch(fn (Batch $batch, Throwable $e) => Log::error('Batch failed', [ 'batch' => $batch->id, 'error' => $e->getMessage(), ])) ->finally(fn (Batch $batch) => BatchCompleted::dispatch($batch->id)) ->name('csv-import') ->allowFailures() // keep running even if some jobs fail ->dispatch(); ``` > `allowFailures()` is critical for large imports: one bad row should not cancel 10,000 others. Track progress in Filament or a dashboard via `$batch->progress()`, `$batch->failedJobs`, and `$batch->pendingJobs`. ### Adding Jobs to a Running Batch Inside a batched job you can append more work — useful for tree-shaped workloads: ```php public function handle(): void { $this->batch()->add([ new ProcessChildJob($this->parentId, $child) foreach ($this->children() as $child), ]); } ``` --- Job Chaining with `Bus::chain()` -------------------------------- Chains enforce strict sequential execution. If any job fails, the rest are abandoned. ```php Bus::chain([ new VerifyPayment($orderId), new FulfillOrder($orderId), new SendConfirmationEmail($orderId), ]) ->catch(fn (Throwable $e) => Order::fail($orderId, $e->getMessage())) ->dispatch(); ``` You can mix batches inside chains for fan-out/fan-in patterns: ```php Bus::chain([ new PrepareImport($fileId), Bus::batch($rowJobs)->allowFailures(), new FinaliseImport($fileId), ])->dispatch(); ``` This runs `PrepareImport`, then all row jobs in parallel, then `FinaliseImport` — a powerful pattern for ETL pipelines. --- Rate-Limited Job Middleware --------------------------- Throttling at the job level prevents hammering third-party APIs regardless of how many workers you run. ```php use Illuminate\Queue\Middleware\RateLimited; use Illuminate\Support\Facades\RateLimiter; // AppServiceProvider::boot() RateLimiter::for('stripe', fn () => Limit::perMinute(100)->by('stripe-api') ); // Inside the job public function middleware(): array { return [new RateLimited('stripe')]; } ``` When the limit is hit, the job is **automatically released back** to the queue with an exponential backoff — no manual `$this->release()` needed. ### Custom Backoff on Rate Limit ```php use Illuminate\Queue\Middleware\RateLimitedWithRedis; public function middleware(): array { return [(new RateLimitedWithRedis('stripe'))->dontRelease()]; // dontRelease() deletes the job instead of re-queuing — use carefully } ``` `RateLimitedWithRedis` uses atomic Lua scripts for precise per-second limits, making it safer under Horizon's multi-worker concurrency. --- Combining All Three ------------------- A production import pipeline might look like: ```php Bus::chain([ new ValidateFile($fileId), // sequential Bus::batch($parseJobs)->allowFailures(), // parallel parse Bus::batch($enrichJobs)->allowFailures(), // parallel API calls (rate-limited) new GenerateReport($fileId), // sequential ])->dispatch(); ``` Each `enrichJob` carries `RateLimited('external-api')` middleware, so the batch fans out as fast as the limiter allows without a single line of throttle logic in the business code. --- Key Takeaways ------------- - Use **`Bus::batch()`** for parallel fan-out; use **`allowFailures()`** for fault-tolerant imports. - Use **`Bus::chain()`** for strict sequential steps; nest batches inside chains for fan-out/fan-in. - Attach **`RateLimited`** middleware at the job level — it survives worker restarts and scales across all Horizon processes. - Prefer **`RateLimitedWithRedis`** over the plain variant when you need sub-second precision. - Track batch state via `$batch->progress()` for real-time dashboards without polling your database directly. - [laravel](https://www.msaied.com/public/articles?search=laravel) - [queues](https://www.msaied.com/public/articles?search=queues) - [jobs](https://www.msaied.com/public/articles?search=jobs) - [horizon](https://www.msaied.com/public/articles?search=horizon) - [async](https://www.msaied.com/public/articles?search=async) Frequently asked questions --------------------------- What happens to a batch when one job throws an exception and `allowFailures()` is set?The failed job is recorded in `job\_batches.failed\_jobs` and the `catch` callback fires, but the remaining pending jobs continue processing. The batch only moves to `finally` once all jobs have either completed or failed. Can I use `RateLimited` middleware with batched jobs?Yes. Each job in a batch is an independent queue message, so middleware is applied per-job. Rate-limited jobs are released back to the queue and retried, which may slow overall batch completion but will not cancel the batch. How do I prevent a chain from silently swallowing failures?Always attach a `->catch()` callback to `Bus::chain()`. Without it, a failed job abandons the rest of the chain with no notification. The callback receives the `Throwable` so you can alert, compensate, or update domain state. ![Mohamed Said](https://cdn.msaied.com/01M22N44A70A5MC2S599JP0MPH.webp)About the author ---------------- [Mohamed Said](https://www.msaied.com/public#person)Senior Backend Engineer specializing in Laravel, scalable SaaS platforms, APIs, and cloud infrastructure. I build secure, high-performance web applications that help businesses grow. [About](https://www.msaied.com/public#about) [GitHub ↗](https://github.com/EG-Mohamed) [LinkedIn ↗](https://www.linkedin.com/in/msaiedm/) [WhatsApp ↗](https://wa.me/201094619204) [Email Address ↗](mailto:hello@msaied.com) [My CV ↗](https://drive.google.com/file/u/0/d/1MF20IPRJyzfy32mhEutjL5EpSls0w2Q8/view) [Previous articleExtract an Image's Dominant Color in Laravel 13.24](https://www.msaied.com/public/articles/extract-an-images-dominant-color-in-laravel-1324) [Next articleManaged Queues: Autoscaling Queue Workers on Laravel Cloud](https://www.msaied.com/public/articles/managed-queues-autoscaling-queue-workers-on-laravel-cloud) On this page ------------- 1. [Why Basic dispatch() Is Not Enough](#why-basic-codedispatchcode-is-not-enough) 2. [Job Batching with Bus::batch()](#job-batching-with-codebusbatchcode) 3. [Adding Jobs to a Running Batch](#adding-jobs-to-a-running-batch) 4. [Job Chaining with Bus::chain()](#job-chaining-with-codebuschaincode) 5. [Rate-Limited Job Middleware](#rate-limited-job-middleware) 6. [Custom Backoff on Rate Limit](#custom-backoff-on-rate-limit) 7. [Combining All Three](#combining-all-three) 8. [Key Takeaways](#key-takeaways) ### Have a technical challenge? Tell me what you’re building. I reply within two working days. 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